Cascading bidirectional influences of digital media use and mental health in adolescence.

A substantial portion of critical adolescent development is occurring within digital environments. However, certain individual differences may lead adolescents to use digital media in diverse ways. In this chapter we suggest that the way teens use digital media influences how digital media affects their mental health. Further, we propose a model in which these influences, in the context of ongoing development, may have feedback effects on how digital media is subsequently used, thus resulting in a self-perpetuating cycle. Our model suggests that certain developmental risk/protective factors and maladaptive/adaptive digital media behaviors likely perpetuate each other in a cyclical manner each serving to maintain and/or escalate the other. We discuss existing evidence of these processes in psychosocial, identity, incentive processing, and physical health development. Future research focusing on individual differences and self-reinforcing digital media behaviors that manifest these feedback loops may portray a more complete picture of cascading digital media influences across adolescent development.

The COVID-19 pandemic and problematic usage of the internet: Findings from a diverse adult sample in South Africa.

BACKGROUND: The coronavirus disease 19 (COVID-19) has led to increased reliance on the internet. How problematic usage of the internet (PUI) and COVID-19 related stress and other clinical variables relate, is unknown. We hypothesised that higher PUI level would be significantly associated with higher levels of: (i) pandemic-related stress; and (ii) impulsive and compulsive symptoms and traits. METHODS: An online community-based cross-sectional survey was used for data collection. Relationships between PUI level and other variables were characterised using correlational analyses. Regression analyses determined the cumulative explanatory power of variables, with partial least squares structural equation modelling (PLS-SEM) to explore path loadings. ANOVA was used to investigate PUI level at varying lockdown levels. RESULTS: Data from 2110 participants (64.5% female), aged 18-64 years (mean: 24.3, SD: 8.1) suggested that approximately a quarter (n = 489, 23.2%) had medium to high level internet use problems. Impulsive and compulsive symptoms and traits, pandemic-stress, and age were all significantly related to PUI (p < 0.01). These associations (medium effect sizes) cumulatively explained 29% of PUI variance. PLS-SEM indicated significant contributory effects, with the association between age and PUI level mediated by impulsivity, pandemic-stress and compulsivity. DISCUSSION: Pandemic-stress, impulsive-compulsive symptoms and traits and age were related to PUI level. Enhancing resilience to stress, particularly in vulnerable populations, through lifestyle changes and implementation of adaptive coping strategies, is key to reduce risk for PUI during the COVID-19 pandemic and beyond.

Adolescent Digital Stress: Frequencies, Correlates, and Longitudinal Association With Depressive Symptoms.

PURPOSE: Adolescents are among the most frequent users of social media and are highly attuned to social feedback. However, digital stress, or subjective distress related to social media demands, expectations, and others' approval and judgment, is understudied in adolescents. METHODS: We conducted a preliminary investigation of self-reported digital stress and its hypothesized correlates (social media, peer status, and mental health variables) among 680 students (Mage = 14.27, SD = .62; 49.2% female). RESULTS: Nearly half of participants reported experiencing digital stress at least "sometimes," regardless of race or ethnicity; sex differences were small. Digital stress was associated with greater social media use and importance, peer importance, popularity, and all mental health variables. Digital stress was also associated longitudinally with increases in depressive symptoms. CONCLUSIONS: These preliminary findings suggest the importance of further investigation of digital stress and its effects on adolescent health.